Style Transfer

Useful as a starting point for style transfer type models which take in a texture and return a modified texture. 

The template comes with an example style transfer model.

Classification

Useful as a starting point for binary classification type models which output the probability of something. 

The template comes with a model that can return the probability of whether someone is wearing glasses or not and call an effect based on this information.

Object Detection

Useful as a starting point for object detection type models which output the location and probability of an object on the camera feed. 

The template comes with both a car and food detection model, as well as a way to visually call it out.

Custom Segmentation

Useful as a starting point for segmentation type models which take in a texture, and return a segmented version of that texture. 

The template comes with a pizza segmentation texture and uses Material Editor to make it look sizzling.

Keyword Detection

The Keyword Detection template leverages SnapML to process the result of a MEL Spectrogram analysis of either an audio track or microphone input to enable certain keyword detections.

Ground Segmentation

A template which uses a segmentation model to segment the ground. 

The template comes with a way to replace the ground with a material and to occlude objects not on the ground.

ML Templates Library 

Download more templates you can use, including foot tracking, eyebrow removal, tree segmentation, and more!